Responsible AI for Climate Action (RAICA) is a vehicle for forward thinking organisations and individuals learning to use AI responsibly in addressing the climate crisis. This initiative operates on the conviction that AI can be a powerful tool, provided it is used ethically, transparently, and with accountability.
Practitioners of responsible AI should consider upholding our principles in practice and they act as guidance, checks and balances in the frameworks for development and implementation of responsible AI. We are currently working toward guidance to this end, please reach out if you are interested in collaborating in this effort.
Principles
Ethical Consideration
AI models and applications should prioritise the well-being of people and the planet. Ethical considerations should guide the development, deployment, and use of AI technologies.
Transparency
There should be transparency in the development and operation of AI models and applications. This includes clearly explaining how the AI works, the data it uses, and the decision-making processes involved.
Accountability
Organisations and individuals involved in the development and deployment of AI must be accountable for the impact and externalities of these technologies on individuals, communities, and the planet.
Sustainability
AI applications should be developed and deployed with sustainability in mind, ensuring they contribute positively to the planet, society, and culture, and do not perpetuate harmful practices.
Inclusiveness
The development and deployment of AI should be inclusive, involving a diverse and representative range of stakeholders, including BIPOC, LGBTQIA+, and MAPA communities who are often most affected by climate change and AI bias.
Data Rights, Privacy, and Security
The privacy and security of data used in AI applications must be protected, with strict measures in place to prevent data breaches, incorrect inclusion, clarification of right to use, and misuse.
Collaboration
Promote collaboration among climate organisations, AI researchers, policymakers, subject matter experts, community representatives, and other stakeholders to maximise the positive impact of AI.
Continuous Learning and Adaptation
AI technologies should be continuously monitored, evaluated, and adapted to ensure they are effective, ethical, and aligned with the latest scientific research, developments related to all other principles, regulatory landscapes, and societal needs.
Mission
To champion the responsible application of AI in climate action initiatives, ensuring they prioritise the well-being of people and planet.
Vision
A future where AI-driven solutions are an effective, sustainable, and ethical tool working toward climate action worldwide.
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